dagwood: DAGs with Omitted Objects Displayed (DAGWOOD)
DAGs With Omitted Objects Displayed (DAGWOOD) is a framework to help reveal key hidden assumptions in a causal DAG. This package provides an implementation of the DAGWOOD algorithm. Further description can be found in Haber et al (2022) <doi:10.1016/j.annepidem.2022.01.001>.
| Version: | 0.1.4 |
| Imports: | dagitty |
| Suggests: | ggdag |
| Published: | 2022-03-22 |
| DOI: | 10.32614/CRAN.package.dagwood |
| Author: | Noah Haber  [aut,
cre] |
| Maintainer: | Noah Haber <noahhaber at stanford.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | dagwood results |
Documentation:
| Reference manual: | dagwood.html , dagwood.pdf |
Downloads:
| Package source: | dagwood_0.1.4.tar.gz |
| Windows binaries: | r-devel: dagwood_0.1.4.zip, r-release: dagwood_0.1.4.zip, r-oldrel: dagwood_0.1.4.zip |
| macOS binaries: | r-release (arm64): dagwood_0.1.4.tgz, r-oldrel (arm64): dagwood_0.1.4.tgz, r-release (x86_64): dagwood_0.1.4.tgz, r-oldrel (x86_64): dagwood_0.1.4.tgz |
| Old sources: | dagwood archive |
Linking:
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